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Understanding Online Hotel Reviews Through Automated Text Analysis

Citations

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Cited by:

  1. Manosso, Franciele Cristina & Domareski Ruiz, Thays Cristina, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7, pages 16-27.
  2. Chiehyeon Lim & Paul P. Maglio, 2018. "Data-Driven Understanding of Smart Service Systems Through Text Mining," Service Science, INFORMS, vol. 10(2), pages 154-180, June.
  3. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
  4. Kim, Kun & Park, Oun-joung & Yun, Seunghyun & Yun, Haejung, 2017. "What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 362-369.
  5. Junegak Joung & Kiwook Jung & Sanghyun Ko & Kwangsoo Kim, 2018. "Customer Complaints Analysis Using Text Mining and Outcome-Driven Innovation Method for Market-Oriented Product Development," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
  6. Hanane Lasmi & Chul Ho Lee & Yasin Ceran, 2025. "Popularity Brings Better Sales or Vice Versa: Evidence from Instagram and OpenTable," Global Business Review, International Management Institute, vol. 26(4), pages 923-967, August.
  7. Yang Qian & Yuanchun Jiang & Yanan Du & Jianshan Sun & Yezheng Liu, 2020. "Segmenting market structure from multi-channel clickstream data: a novel generative model," Electronic Commerce Research, Springer, vol. 20(3), pages 509-533, September.
  8. Seungju Nam & Hyun Cheol Lee, 2019. "A Text Analytics-Based Importance Performance Analysis and Its Application to Airline Service," Sustainability, MDPI, vol. 11(21), pages 1-24, November.
  9. Vera L. Miguéis & Henriqueta Nóvoa, 2017. "Exploring Online Travel Reviews Using Data Analytics: An Exploratory Study," Service Science, INFORMS, vol. 9(4), pages 315-323, December.
  10. Christian C. Blanco, 2022. "A Classification of Carbon Abatement Opportunities of Global Firms," Manufacturing & Service Operations Management, INFORMS, vol. 24(5), pages 2648-2665, September.
  11. Grybauskas, Andrius & Stefanini, Alessandro & Ghobakhloo, Morteza, 2022. "Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0," Technology in Society, Elsevier, vol. 70(C).
  12. Xinyu Liu & Yezheng Liu & Yang Qian & Yuanchun Jiang & Haifeng Ling, 2025. "Learning consumer preferences through textual and visual data: a multi-modal approach," Electronic Commerce Research, Springer, vol. 25(4), pages 2955-2984, August.
  13. Woohyuk Kim & Sung-Bum Kim & Eunhye Park, 2021. "Mapping Tourists’ Destination (Dis)Satisfaction Attributes with User-Generated Content," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
  14. Seungju Nam & Chunghun Ha & Hyun Cheol Lee, 2018. "Redesigning In-Flight Service with Service Blueprint Based on Text Analysis," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
  15. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  16. María D. Illescas-Manzano & Sergio Martínez-Puertas & Gema M. Marín-Carrillo & María B. Marín-Carrillo, 2023. "Dynamics of agglomeration and competition in the hotel industry: A geographically weighted regression analysis based on an analytical hierarchy process and geographic information systems (GIS) data," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 213-252, March.
  17. Matthew J. Schneider & Shawn Mankad, 2021. "A Two-Stage Authorship Attribution Method Using Text and Structured Data for De-Anonymizing User-Generated Content," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(3), pages 66-83, September.
  18. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
  19. Himanshu Sharma & Abhishek Tandon & P. K. Kapur & Anu G. Aggarwal, 2019. "Ranking hotels using aspect ratings based sentiment classification and interval-valued neutrosophic TOPSIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 973-983, October.
  20. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2021. "Service Quality Using Text Mining: Measurement and Consequences," Manufacturing & Service Operations Management, INFORMS, vol. 23(6), pages 1354-1372, November.
  21. Lim, Chiehyeon & Cho, Gi-Hyoug & Kim, Jeongseob, 2021. "Understanding the linkages of smart-city technologies and applications: Key lessons from a text mining approach and a call for future research," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
  22. Cristina Franciele & Thays Christina Domareski Ruiz, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," Post-Print hal-03373984, HAL.
  23. Kolomoyets, Yuliya & Dickinger, Astrid, 2023. "Understanding value perceptions and propositions: A machine learning approach," Journal of Business Research, Elsevier, vol. 154(C).
  24. Xiaobin Zhang & Hak-Seon Kim, 2021. "Customer Experience and Satisfaction of Disneyland Hotel through Big Data Analysis of Online Customer Reviews," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
  25. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
  26. Lifeng He & Dongmei Han & Xiaohang Zhou & Zheng Qu, 2020. "The Voice of Drug Consumers: Online Textual Review Analysis Using Structural Topic Model," IJERPH, MDPI, vol. 17(10), pages 1-18, May.
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